Overview

Brought to you by YData

Dataset statistics

Number of variables	29
Number of observations	42903
Missing cells	646844
Missing cells (%)	52.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	76.1 MiB
Average record size in memory	1.8 KiB

Variable types

Text	21
Unsupported	2
URL	3
Categorical	2
Numeric	1

Alerts

`country` has constant value "United States"	Constant
`languages[9]` has constant value "Arabic (North Levantine Spoken)"	Constant
`middle_name` has 39483 (92.0%) missing values	Missing
`last_name` has 1091 (2.5%) missing values	Missing
`office_name` has 1399 (3.3%) missing values	Missing
`title` has 42903 (100.0%) missing values	Missing
`description` has 27692 (64.5%) missing values	Missing
`image_url` has 6702 (15.6%) missing values	Missing
`agent_phone_numbers[0]` has 4602 (10.7%) missing values	Missing
`agent_phone_numbers[1]` has 35713 (83.2%) missing values	Missing
`email` has 42903 (100.0%) missing values	Missing
`website` has 30732 (71.6%) missing values	Missing
`languages[0]` has 35773 (83.4%) missing values	Missing
`languages[1]` has 36135 (84.2%) missing values	Missing
`languages[2]` has 41787 (97.4%) missing values	Missing
`languages[3]` has 42593 (99.3%) missing values	Missing
`languages[4]` has 42836 (99.8%) missing values	Missing
`languages[5]` has 42886 (> 99.9%) missing values	Missing
`languages[6]` has 42899 (> 99.9%) missing values	Missing
`languages[7]` has 42900 (> 99.9%) missing values	Missing
`languages[8]` has 42901 (> 99.9%) missing values	Missing
`languages[9]` has 42902 (> 99.9%) missing values	Missing
`_id` has unique values	Unique
`profile_url` has unique values	Unique
`title` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`email` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2024-11-26 10:11:20.587395
Analysis finished	2024-11-26 10:11:51.065999
Duration	30.48 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

_id
Text

Unique

Distinct	42903
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	3.3 MiB

Length

Max length	24
Median length	24
Mean length	24
Min length	24

Characters and Unicode

Total characters	1029672
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42903 ?
Unique (%)	100.0%

Sample

1st row	674595d263f3d792c14081ce
2nd row	674595d263f3d792c14081cf
3rd row	674595d263f3d792c14081d0
4th row	674595d263f3d792c14081d1
5th row	674595d263f3d792c14081d2

Value	Count	Frequency (%)
674595d263f3d792c14081ce	1	< 0.1%
674595d263f3d792c14081e2	1	< 0.1%
674595d263f3d792c14081e1	1	< 0.1%
674595d263f3d792c14081d0	1	< 0.1%
674595d263f3d792c14081d1	1	< 0.1%
674595d263f3d792c14081d2	1	< 0.1%
674595d263f3d792c14081d3	1	< 0.1%
674595d263f3d792c14081d4	1	< 0.1%
674595d263f3d792c14081d5	1	< 0.1%
674595d263f3d792c14081d6	1	< 0.1%
Other values (42893)	42893	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
9	100917	9.8%
3	97895	9.5%
5	96992	9.4%
7	96975	9.4%
4	95992	9.3%
6	95980	9.3%
d	91368	8.9%
1	67576	6.6%
f	57929	5.6%
c	57914	5.6%
Other values (6)	170134	16.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1029672	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
9	100917	9.8%
3	97895	9.5%
5	96992	9.4%
7	96975	9.4%
4	95992	9.3%
6	95980	9.3%
d	91368	8.9%
1	67576	6.6%
f	57929	5.6%
c	57914	5.6%
Other values (6)	170134	16.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1029672	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
9	100917	9.8%
3	97895	9.5%
5	96992	9.4%
7	96975	9.4%
4	95992	9.3%
6	95980	9.3%
d	91368	8.9%
1	67576	6.6%
f	57929	5.6%
c	57914	5.6%
Other values (6)	170134	16.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1029672	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
9	100917	9.8%
3	97895	9.5%
5	96992	9.4%
7	96975	9.4%
4	95992	9.3%
6	95980	9.3%
d	91368	8.9%
1	67576	6.6%
f	57929	5.6%
c	57914	5.6%
Other values (6)	170134	16.5%

first_name
Text

Distinct	8632
Distinct (%)	20.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

Length

Max length	59
Median length	47
Mean length	6.0919283
Min length	1

Characters and Unicode

Total characters	261362
Distinct characters	79
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5589 ?
Unique (%)	13.0%

Sample

1st row	Kyle
2nd row	William
3rd row	Fermin
4th row	21
5th row	The

Value	Count	Frequency (%)
the	943	2.0%
team	639	1.4%
michael	419	0.9%
david	353	0.8%
john	350	0.8%
jennifer	295	0.6%
lisa	271	0.6%
robert	261	0.6%
mary	243	0.5%
maria	238	0.5%
Other values (8416)	42249	91.3%

Most occurring characters

Value	Count	Frequency (%)
a	32394	12.4%
e	28275	10.8%
n	20315	7.8%
i	20233	7.7%
r	16860	6.5%
l	13055	5.0%
o	10671	4.1%
t	9204	3.5%
h	9050	3.5%
s	8534	3.3%
Other values (69)	92771	35.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	261362	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	32394	12.4%
e	28275	10.8%
n	20315	7.8%
i	20233	7.7%
r	16860	6.5%
l	13055	5.0%
o	10671	4.1%
t	9204	3.5%
h	9050	3.5%
s	8534	3.3%
Other values (69)	92771	35.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	261362	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	32394	12.4%
e	28275	10.8%
n	20315	7.8%
i	20233	7.7%
r	16860	6.5%
l	13055	5.0%
o	10671	4.1%
t	9204	3.5%
h	9050	3.5%
s	8534	3.3%
Other values (69)	92771	35.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	261362	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	32394	12.4%
e	28275	10.8%
n	20315	7.8%
i	20233	7.7%
r	16860	6.5%
l	13055	5.0%
o	10671	4.1%
t	9204	3.5%
h	9050	3.5%
s	8534	3.3%
Other values (69)	92771	35.5%

middle_name
Text

Missing

Distinct	1358
Distinct (%)	39.7%
Missing	39483
Missing (%)	92.0%
Memory size	1.4 MiB

Length

Max length	18
Median length	15
Mean length	4.9883041
Min length	1

Characters and Unicode

Total characters	17060
Distinct characters	62
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	885 ?
Unique (%)	25.9%

Sample

1st row	Mike
2nd row	Mills
3rd row	Elite
4th row	McCatty
5th row	I.

Value	Count	Frequency (%)
home	86	2.5%
a	68	2.0%
realty	66	1.9%
ann	64	1.9%
m	61	1.8%
j	49	1.4%
de	46	1.3%
l	44	1.3%
	37	1.1%
roman	37	1.1%
Other values (1295)	2862	83.7%

Most occurring characters

Value	Count	Frequency (%)
e	1888	11.1%
a	1429	8.4%
n	1117	6.5%
r	1104	6.5%
o	1097	6.4%
i	967	5.7%
l	897	5.3%
t	738	4.3%
s	597	3.5%
m	412	2.4%
Other values (52)	6814	39.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	17060	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1888	11.1%
a	1429	8.4%
n	1117	6.5%
r	1104	6.5%
o	1097	6.4%
i	967	5.7%
l	897	5.3%
t	738	4.3%
s	597	3.5%
m	412	2.4%
Other values (52)	6814	39.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	17060	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1888	11.1%
a	1429	8.4%
n	1117	6.5%
r	1104	6.5%
o	1097	6.4%
i	967	5.7%
l	897	5.3%
t	738	4.3%
s	597	3.5%
m	412	2.4%
Other values (52)	6814	39.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	17060	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1888	11.1%
a	1429	8.4%
n	1117	6.5%
r	1104	6.5%
o	1097	6.4%
i	967	5.7%
l	897	5.3%
t	738	4.3%
s	597	3.5%
m	412	2.4%
Other values (52)	6814	39.9%

last_name
Text

Missing

Distinct	19186
Distinct (%)	45.9%
Missing	1091
Missing (%)	2.5%
Memory size	2.6 MiB

Length

Max length	22
Median length	20
Mean length	6.4186836
Min length	1

Characters and Unicode

Total characters	268378
Distinct characters	70
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14296 ?
Unique (%)	34.2%

Sample

1st row	Seyboth
2nd row	Lublin
3rd row	Group
4th row	Team
5th row	Group

Value	Count	Frequency (%)
team	886	2.1%
group	480	1.1%
smith	272	0.7%
johnson	222	0.5%
jr	213	0.5%
williams	180	0.4%
brown	161	0.4%
jones	157	0.4%
garcia	143	0.3%
miller	121	0.3%
Other values (18871)	38977	93.2%

Most occurring characters

Value	Count	Frequency (%)
e	26892	10.0%
a	25339	9.4%
r	20506	7.6%
o	19009	7.1%
n	18855	7.0%
i	15897	5.9%
l	14853	5.5%
s	12360	4.6%
t	9876	3.7%
u	7032	2.6%
Other values (60)	97759	36.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	268378	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	26892	10.0%
a	25339	9.4%
r	20506	7.6%
o	19009	7.1%
n	18855	7.0%
i	15897	5.9%
l	14853	5.5%
s	12360	4.6%
t	9876	3.7%
u	7032	2.6%
Other values (60)	97759	36.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	268378	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	26892	10.0%
a	25339	9.4%
r	20506	7.6%
o	19009	7.1%
n	18855	7.0%
i	15897	5.9%
l	14853	5.5%
s	12360	4.6%
t	9876	3.7%
u	7032	2.6%
Other values (60)	97759	36.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	268378	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	26892	10.0%
a	25339	9.4%
r	20506	7.6%
o	19009	7.1%
n	18855	7.0%
i	15897	5.9%
l	14853	5.5%
s	12360	4.6%
t	9876	3.7%
u	7032	2.6%
Other values (60)	97759	36.4%

office_name
Text

Missing

Distinct	873
Distinct (%)	2.1%
Missing	1399
Missing (%)	3.3%
Memory size	2.9 MiB

Length

Max length	44
Median length	30
Mean length	14.279347
Min length	3

Characters and Unicode

Total characters	592650
Distinct characters	67
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	< 0.1%

Sample

1st row	The Seyboth Team
2nd row	Advantage Gold
3rd row	North East
4th row	HomeStar
5th row	Barefoot Realty

Value	Count	Frequency (%)
realty	14110	15.6%
real	3490	3.8%
estate	3490	3.8%
	3297	3.6%
inc	3266	3.6%
company	1846	2.0%
group	1578	1.7%
north	1332	1.5%
alliance	1290	1.4%
associates	1227	1.4%
Other values (840)	55742	61.5%

Most occurring characters

Value	Count	Frequency (%)
e	65827	11.1%
	49164	8.3%
a	47543	8.0%
t	46282	7.8%
l	37735	6.4%
r	28912	4.9%
o	28524	4.8%
s	28371	4.8%
n	27910	4.7%
i	26300	4.4%
Other values (57)	206082	34.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	592650	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	65827	11.1%
	49164	8.3%
a	47543	8.0%
t	46282	7.8%
l	37735	6.4%
r	28912	4.9%
o	28524	4.8%
s	28371	4.8%
n	27910	4.7%
i	26300	4.4%
Other values (57)	206082	34.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	592650	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	65827	11.1%
	49164	8.3%
a	47543	8.0%
t	46282	7.8%
l	37735	6.4%
r	28912	4.9%
o	28524	4.8%
s	28371	4.8%
n	27910	4.7%
i	26300	4.4%
Other values (57)	206082	34.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	592650	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	65827	11.1%
	49164	8.3%
a	47543	8.0%
t	46282	7.8%
l	37735	6.4%
r	28912	4.9%
o	28524	4.8%
s	28371	4.8%
n	27910	4.7%
i	26300	4.4%
Other values (57)	206082	34.8%

title
Unsupported

Missing Rejected Unsupported

Missing	42903
Missing (%)	100.0%
Memory size	335.3 KiB

description
Text

Missing

Distinct	13983
Distinct (%)	91.9%
Missing	27692
Missing (%)	64.5%
Memory size	15.3 MiB

Length

Max length	6609
Median length	2178
Mean length	937.78075
Min length	26

Characters and Unicode

Total characters	14264583
Distinct characters	92
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13743 ?
Unique (%)	90.3%

Sample

1st row	1997 GPAR REALTOR of the Year Inducted to Greater Phila. Association of REALTORS Hall of Fame Certified Real Estate Instructor BILL LUBLIN operates a successful multi-office real estate firm and has been recognized as a thought leader for his insights regarding technology and its use in business. An international speaker and trainer, he makes complicated things simple in a fast paced entertaining manner. Entering the real estate business in 1971 at the age of 21, Bill rapidly gained recognition as one of the best salespeople in the marketplace. From his earliest days he began a career of service to both the community and the industry, always embracing the latest tools and technology. Bill has served as a member of the National Association of REALTORS Professional Standards Committee and Risk Management Committee. He was also appointed to serve on the Interpretations and Procedures Sub-Committee, the Article 10 Standards Revision Working Group, the Commercial Membership Recruitment Group, the BPO Workgroup, and was appointed Chair of the NAR Short Sale Workgroup. In addition Bill has was Vice-Chair of the Professional Standards Forum and the Professional Standards Committee, was Chairman of the Committee in 2008, the Association's Centennial Year, and chairing the Interpretations and Procedures Sub-Committee of Professional Standards in 2009 . In 2014 Bill will serve as the Chair for the MLS Issues & Policies Committee for NAR.
2nd row	Lexington is where Tim Williams, owner and broker-in-charge at 803 Realty , grew up. 803 Realty offers a stress-free approach to buying and selling real estate through partnerships with industry leaders throughout the purchasing or selling process. These partnerships and connections allow clients to feel at ease and know that every step of the process is being held with the utmost care and urgency. The agency has also partnered with a property management company that allows for their clients to have a one stop approach to real estate. 803 Realty rebranded in June of 2020, after first opening its doors as Williams Real Estate Group in January 2016 as a full service residential real estate company. Tim and the other 42 agents pride themselves on their VIP client level customer service. They are selling homes 25 days faster than the Midlands average and operate as a one stop shop for both real estate sales and rentals. Tim is continually expanding to service communities throughout the 803 area code. He recently announced the expansion of their sales force to the Aiken/North Augusta market. The agency continues to focus on finding new ways to serve the community by joining multiple charitable foundations and business leaders that work to beautify the town and encourage growth and diversity. Everyday, Tim gets to help individuals and families with one of the largest purchases of their life, real estate. Not only that, but he also gets to mentor agents who work with 803 Realty and learn new ways to serve the community and build the business. Tim is grateful how his work in this service industry has touched his life. He shared that life is a beautiful thing that we must all be grateful for and that success should be defined by the individual, not a company or corporation. I feel as though in this industry and in any 'luxury industry' there is too much pressure on agents to work towards driving a certain car or making a certain amount of money, he said. We all have different levels of comfort when it comes to living and different things we are working toward. I feel as though it's important as a company that we promote that individuality because that's what makes this community thrive and great. 803 Realty will always remain locally owned and operated, putting their clients and community first. Visit 803 Realty at 5599 Sunset Boulevard or at www.803realtylexington.com . Tim and his wife Cidney, are quite involved in Lexington, from helping out at the schools their four children attend to taking part in city beautification projects. They also love Lake Murray - the jewel of South Carolina. I love time with my family and vacationing, Tim adds. They are the center of my world.
3rd row	Shelly Garner is a local Realtor with 24 years experience in the Lexington and Columbia Area. Shelly has ranked in the Real Trends Top 1,000 agents nationally for the past 4 years. Shelly has a real passion for new homes sales and over the past 8 years has been honored to have achieved being the top sales agent for a local builder. Shelly is committed to helping you buy or sell your home with the highest level of expertise in your local market. Shelly creates a positive experience for both sides in any real estate transaction. Known by clients and colleagues alike for her honesty, perseverance and professionalism, she has a reputation for a quick, timely response to each client's needs and concerns. Shelly has the market knowledge as well as negotiation and communication skills to provide exceptional customer satisfaction, which is her personal commitment to each and every client. Give Shelly a Call or Email she would love to assist you with your real estate needs.
4th row	#1 Century 21 Realtor in The United States #1 Century 21 realtor in Oklahoma for the past 5 years #1 Realtor in Tahlequah Best of the Best for the past several years #1 in Customer Service for the past 5 years ABR, SRS, CRS, GRI, CHMS A Home SOLD Every 2.1 days
5th row	Mike and Melanie Scheetz began serving the greater Indianapolis area residential real estate community over two decades ago in 1995. With over 20 years of experience and the beneficial insight of a male and female team, Mike and Melanie offer service that is set apart from the rest with their unparalleled knowledge, experience, and insightful expertise. Choosing Mike and Melanie Scheetz will not only provide a stress-free buying and selling experience, but a lasting relationship with people who care more about the relationships they'll build than the commission they'll earn.

Value	Count	Frequency (%)
and	100406	4.2%
the	83794	3.5%
to	73301	3.1%
a	61727	2.6%
in	56542	2.4%
of	55378	2.3%
i	48238	2.0%
real	33157	1.4%
estate	32979	1.4%
with	32562	1.4%
Other values (41678)	1801656	75.7%

Most occurring characters

Value	Count	Frequency (%)
	2364529	16.6%
e	1440598	10.1%
a	930188	6.5%
t	905384	6.3%
n	833586	5.8%
o	828729	5.8%
i	821575	5.8%
r	746152	5.2%
s	721746	5.1%
l	503771	3.5%
Other values (82)	4168325	29.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14264583	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2364529	16.6%
e	1440598	10.1%
a	930188	6.5%
t	905384	6.3%
n	833586	5.8%
o	828729	5.8%
i	821575	5.8%
r	746152	5.2%
s	721746	5.1%
l	503771	3.5%
Other values (82)	4168325	29.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14264583	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2364529	16.6%
e	1440598	10.1%
a	930188	6.5%
t	905384	6.3%
n	833586	5.8%
o	828729	5.8%
i	821575	5.8%
r	746152	5.2%
s	721746	5.1%
l	503771	3.5%
Other values (82)	4168325	29.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14264583	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2364529	16.6%
e	1440598	10.1%
a	930188	6.5%
t	905384	6.3%
n	833586	5.8%
o	828729	5.8%
i	821575	5.8%
r	746152	5.2%
s	721746	5.1%
l	503771	3.5%
Other values (82)	4168325	29.2%

image_url
URL

Missing

Distinct	34891
Distinct (%)	96.4%
Missing	6702
Missing (%)	15.6%
Memory size	7.6 MiB

https://www.century21.com/c21/remote-media/affiliate-4x5-316w/67c/150/90/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvczNoazhiN25kZGF2NG5wcHNyMzRtdm1wcDJp.jpg	37
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/55e/8aa/2d/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvN2MwYThnOTlxemoxbXhhdDJ4MGdqYzBiMjBp.jpg	29
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/a79/eb5/a5/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xaTAvcG42Z2VyeHR2aHo0NGR5YTZ4ZDR3cTl5ajRp.jpg	28
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/4fd/955/a1/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvZHZ0OHR6MGpkZmRuNGt0dGh0N2RhNXpuZTZp.jpg	22
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/97a/a37/ed/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvYWNhZGtkZmY0ejk2bXM2bmF5ZTFlN2hnOTdp.jpg	22
Other values (34886)	36063
(Missing)	6702

Value	Count	Frequency (%)
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/67c/150/90/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvczNoazhiN25kZGF2NG5wcHNyMzRtdm1wcDJp.jpg	37	0.1%
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/55e/8aa/2d/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvN2MwYThnOTlxemoxbXhhdDJ4MGdqYzBiMjBp.jpg	29	0.1%
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/a79/eb5/a5/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xaTAvcG42Z2VyeHR2aHo0NGR5YTZ4ZDR3cTl5ajRp.jpg	28	0.1%
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/4fd/955/a1/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvZHZ0OHR6MGpkZmRuNGt0dGh0N2RhNXpuZTZp.jpg	22	0.1%
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/97a/a37/ed/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvYWNhZGtkZmY0ejk2bXM2bmF5ZTFlN2hnOTdp.jpg	22	0.1%
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/011/468/82/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvYWdiMDRhc2F5NDdlbXNqMGdzbjJnNmdqNzJp.jpg	20	< 0.1%
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/d1f/a93/eb/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvMWZ5Z2NyNjF6aGh0bTl0ZHI3MzM0czc3ZDdp.jpg	20	< 0.1%
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/7dd/dea/fa/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvc2I2YWJhZnR5Ynh2NHR0YXg2ZmtrYjhrcjZp.jpg	19	< 0.1%
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/d65/717/f9/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvcGV2aGJhcmQ0dDJkbXYyeDQ0dzFkYTA5ZTFp.jpg	16	< 0.1%
https://www.century21.com/c21/remote-media/affiliate-4x5-316w/ea3/117/58/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvcTRwMDkyYWo0ZHlubWsyd3IzNXdnanl6cTRp.jpg	15	< 0.1%
Other values (34881)	35973	83.8%
(Missing)	6702	15.6%

Value	Count	Frequency (%)
https	36201	84.4%
(Missing)	6702	15.6%

Value	Count	Frequency (%)
www.century21.com	36201	84.4%
(Missing)	6702	15.6%

Value	Count	Frequency (%)
/c21/remote-media/affiliate-4x5-316w/67c/150/90/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvczNoazhiN25kZGF2NG5wcHNyMzRtdm1wcDJp.jpg	37	0.1%
/c21/remote-media/affiliate-4x5-316w/55e/8aa/2d/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvN2MwYThnOTlxemoxbXhhdDJ4MGdqYzBiMjBp.jpg	29	0.1%
/c21/remote-media/affiliate-4x5-316w/a79/eb5/a5/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xaTAvcG42Z2VyeHR2aHo0NGR5YTZ4ZDR3cTl5ajRp.jpg	28	0.1%
/c21/remote-media/affiliate-4x5-316w/4fd/955/a1/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvZHZ0OHR6MGpkZmRuNGt0dGh0N2RhNXpuZTZp.jpg	22	0.1%
/c21/remote-media/affiliate-4x5-316w/97a/a37/ed/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvYWNhZGtkZmY0ejk2bXM2bmF5ZTFlN2hnOTdp.jpg	22	0.1%
/c21/remote-media/affiliate-4x5-316w/011/468/82/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvYWdiMDRhc2F5NDdlbXNqMGdzbjJnNmdqNzJp.jpg	20	< 0.1%
/c21/remote-media/affiliate-4x5-316w/d1f/a93/eb/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvMWZ5Z2NyNjF6aGh0bTl0ZHI3MzM0czc3ZDdp.jpg	20	< 0.1%
/c21/remote-media/affiliate-4x5-316w/7dd/dea/fa/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvc2I2YWJhZnR5Ynh2NHR0YXg2ZmtrYjhrcjZp.jpg	19	< 0.1%
/c21/remote-media/affiliate-4x5-316w/d65/717/f9/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvcGV2aGJhcmQ0dDJkbXYyeDQ0dzFkYTA5ZTFp.jpg	16	< 0.1%
/c21/remote-media/affiliate-4x5-316w/ea3/117/58/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvcTRwMDkyYWo0ZHlubWsyd3IzNXdnanl6cTRp.jpg	15	< 0.1%
Other values (34881)	35973	83.8%
(Missing)	6702	15.6%

Value	Count	Frequency (%)
	36201	84.4%
(Missing)	6702	15.6%

Value	Count	Frequency (%)
	36201	84.4%
(Missing)	6702	15.6%

address
Text

Distinct	1651
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Memory size	3.2 MiB

Length

Max length	40
Median length	35
Mean length	20.005244
Min length	8

Characters and Unicode

Total characters	858285
Distinct characters	70
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	33 ?
Unique (%)	0.1%

Sample

1st row	969 Waterman Ave
2nd row	494 Second Street Pike
3rd row	130 Parker St
4th row	31320 Solon Road
5th row	4720 Barefoot Resort Bridge Road

Value	Count	Frequency (%)
street	7389	4.7%
road	6453	4.1%
avenue	4256	2.7%
blvd	3623	2.3%
drive	2990	1.9%
ave	2881	1.8%
main	2604	1.6%
rd	2406	1.5%
suite	2378	1.5%
s	2283	1.4%
Other values (2327)	120720	76.4%

Most occurring characters

Value	Count	Frequency (%)
	115080	13.4%
e	68546	8.0%
a	43298	5.0%
t	41716	4.9%
r	37684	4.4%
1	34121	4.0%
o	33732	3.9%
0	30266	3.5%
n	28403	3.3%
i	27946	3.3%
Other values (60)	397493	46.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	858285	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	115080	13.4%
e	68546	8.0%
a	43298	5.0%
t	41716	4.9%
r	37684	4.4%
1	34121	4.0%
o	33732	3.9%
0	30266	3.5%
n	28403	3.3%
i	27946	3.3%
Other values (60)	397493	46.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	858285	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	115080	13.4%
e	68546	8.0%
a	43298	5.0%
t	41716	4.9%
r	37684	4.4%
1	34121	4.0%
o	33732	3.9%
0	30266	3.5%
n	28403	3.3%
i	27946	3.3%
Other values (60)	397493	46.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	858285	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	115080	13.4%
e	68546	8.0%
a	43298	5.0%
t	41716	4.9%
r	37684	4.4%
1	34121	4.0%
o	33732	3.9%
0	30266	3.5%
n	28403	3.3%
i	27946	3.3%
Other values (60)	397493	46.3%

city
Text

Distinct	1300
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	2.7 MiB

Length

Max length	22
Median length	18
Mean length	9.2018507
Min length	3

Characters and Unicode

Total characters	394787
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	0.1%

Sample

1st row	East Providence
2nd row	Southampton
3rd row	Lawrence
4th row	Solon
5th row	North Myrtle Beach

Value	Count	Frequency (%)
beach	1528	2.7%
city	914	1.6%
san	843	1.5%
fort	671	1.2%
heights	565	1.0%
solon	483	0.8%
park	418	0.7%
hills	403	0.7%
wayne	398	0.7%
springs	388	0.7%
Other values (1302)	50299	88.4%

Most occurring characters

Value	Count	Frequency (%)
e	35442	9.0%
a	35155	8.9%
o	31593	8.0%
n	28312	7.2%
r	26104	6.6%
l	25895	6.6%
i	24064	6.1%
t	18762	4.8%
s	16242	4.1%
	14007	3.5%
Other values (44)	139211	35.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	394787	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	35442	9.0%
a	35155	8.9%
o	31593	8.0%
n	28312	7.2%
r	26104	6.6%
l	25895	6.6%
i	24064	6.1%
t	18762	4.8%
s	16242	4.1%
	14007	3.5%
Other values (44)	139211	35.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	394787	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	35442	9.0%
a	35155	8.9%
o	31593	8.0%
n	28312	7.2%
r	26104	6.6%
l	25895	6.6%
i	24064	6.1%
t	18762	4.8%
s	16242	4.1%
	14007	3.5%
Other values (44)	139211	35.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	394787	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	35442	9.0%
a	35155	8.9%
o	31593	8.0%
n	28312	7.2%
r	26104	6.6%
l	25895	6.6%
i	24064	6.1%
t	18762	4.8%
s	16242	4.1%
	14007	3.5%
Other values (44)	139211	35.3%

state
Text

Distinct	52
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.4 MiB

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	85806
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RI
2nd row	PA
3rd row	MA
4th row	OH
5th row	SC

Value	Count	Frequency (%)
ca	7011	16.3%
fl	4754	11.1%
tx	2724	6.3%
nj	2560	6.0%
ny	2157	5.0%
mi	1574	3.7%
il	1539	3.6%
ga	1397	3.3%
oh	1351	3.1%
pa	1333	3.1%
Other values (42)	16503	38.5%

Most occurring characters

Value	Count	Frequency (%)
A	14932	17.4%
C	9674	11.3%
N	8710	10.2%
L	7095	8.3%
I	6187	7.2%
T	5040	5.9%
M	4905	5.7%
F	4754	5.5%
X	2724	3.2%
Y	2638	3.1%
Other values (14)	19147	22.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	85806	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	14932	17.4%
C	9674	11.3%
N	8710	10.2%
L	7095	8.3%
I	6187	7.2%
T	5040	5.9%
M	4905	5.7%
F	4754	5.5%
X	2724	3.2%
Y	2638	3.1%
Other values (14)	19147	22.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	85806	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	14932	17.4%
C	9674	11.3%
N	8710	10.2%
L	7095	8.3%
I	6187	7.2%
T	5040	5.9%
M	4905	5.7%
F	4754	5.5%
X	2724	3.2%
Y	2638	3.1%
Other values (14)	19147	22.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	85806	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	14932	17.4%
C	9674	11.3%
N	8710	10.2%
L	7095	8.3%
I	6187	7.2%
T	5040	5.9%
M	4905	5.7%
F	4754	5.5%
X	2724	3.2%
Y	2638	3.1%
Other values (14)	19147	22.3%

country
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 MiB

United States	42903

Length

Max length	13
Median length	13
Mean length	13
Min length	13

Characters and Unicode

Total characters	557739
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	United States
2nd row	United States
3rd row	United States
4th row	United States
5th row	United States

Common Values

Value	Count	Frequency (%)
United States	42903	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
united	42903	50.0%
states	42903	50.0%

Most occurring characters

Value	Count	Frequency (%)
t	128709	23.1%
e	85806	15.4%
U	42903	7.7%
n	42903	7.7%
i	42903	7.7%
d	42903	7.7%
	42903	7.7%
S	42903	7.7%
a	42903	7.7%
s	42903	7.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	557739	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	128709	23.1%
e	85806	15.4%
U	42903	7.7%
n	42903	7.7%
i	42903	7.7%
d	42903	7.7%
	42903	7.7%
S	42903	7.7%
a	42903	7.7%
s	42903	7.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	557739	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	128709	23.1%
e	85806	15.4%
U	42903	7.7%
n	42903	7.7%
i	42903	7.7%
d	42903	7.7%
	42903	7.7%
S	42903	7.7%
a	42903	7.7%
s	42903	7.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	557739	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	128709	23.1%
e	85806	15.4%
U	42903	7.7%
n	42903	7.7%
i	42903	7.7%
d	42903	7.7%
	42903	7.7%
S	42903	7.7%
a	42903	7.7%
s	42903	7.7%

zipcode
Real number (ℝ)

Distinct	1573
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49402.247

Minimum	1201
Maximum	99705
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	335.3 KiB

Quantile statistics

Minimum	1201
5-th percentile	6107
Q1	23464
median	44139
Q3	78626
95-th percentile	95010
Maximum	99705
Range	98504
Interquartile range (IQR)	55162

Descriptive statistics

Standard deviation	30757.506
Coefficient of variation (CV)	0.62259325
Kurtosis	-1.3428488
Mean	49402.247
Median Absolute Deviation (MAD)	27883
Skewness	0.14618793
Sum	2.1195046 × 10⁹
Variance	9.4602416 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
44139	483	1.1%
30041	385	0.9%
33708	382	0.9%
90660	368	0.9%
46825	342	0.8%
84047	334	0.8%
30076	306	0.7%
90505	259	0.6%
90703	225	0.5%
90240	220	0.5%
Other values (1563)	39599	92.3%

Value	Count	Frequency (%)
1201	3	< 0.1%
1453	12	< 0.1%
1463	7	< 0.1%
1501	50	0.1%
1545	3	< 0.1%
1562	27	0.1%
1564	3	< 0.1%
1581	20	< 0.1%
1603	7	< 0.1%
1748	6	< 0.1%

Value	Count	Frequency (%)
99705	9	< 0.1%
99701	5	< 0.1%
99669	26	0.1%
99645	3	< 0.1%
99577	6	< 0.1%
99515	16	< 0.1%
99352	63	0.1%
99201	55	0.1%
99114	16	< 0.1%
98926	15	< 0.1%

office_phone_numbers[0]
Text

Distinct	1531
Distinct (%)	3.6%
Missing	12
Missing (%)	< 0.1%
Memory size	2.9 MiB

Length

Max length	14
Median length	14
Mean length	14
Min length	14

Characters and Unicode

Total characters	600474
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27 ?
Unique (%)	0.1%

Sample

1st row	(401) 477-0124
2nd row	(215) 671-4701
3rd row	(800) 844-7653
4th row	(440) 449-9100
5th row	(843) 390-1999

Value	Count	Frequency (%)
800	1781	2.1%
562	1189	1.4%
844-7653	994	1.2%
909	802	0.9%
770	769	0.9%
888	732	0.9%
440	676	0.8%
817	666	0.8%
732	647	0.8%
862-1194	617	0.7%
Other values (1765)	76909	89.7%

Most occurring characters

Value	Count	Frequency (%)
0	67472	11.2%
2	49293	8.2%
(	42891	7.1%
)	42891	7.1%
	42891	7.1%
-	42891	7.1%
7	42852	7.1%
1	42349	7.1%
8	41515	6.9%
3	38143	6.4%
Other values (4)	147286	24.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	600474	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	67472	11.2%
2	49293	8.2%
(	42891	7.1%
)	42891	7.1%
	42891	7.1%
-	42891	7.1%
7	42852	7.1%
1	42349	7.1%
8	41515	6.9%
3	38143	6.4%
Other values (4)	147286	24.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	600474	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	67472	11.2%
2	49293	8.2%
(	42891	7.1%
)	42891	7.1%
	42891	7.1%
-	42891	7.1%
7	42852	7.1%
1	42349	7.1%
8	41515	6.9%
3	38143	6.4%
Other values (4)	147286	24.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	600474	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	67472	11.2%
2	49293	8.2%
(	42891	7.1%
)	42891	7.1%
	42891	7.1%
-	42891	7.1%
7	42852	7.1%
1	42349	7.1%
8	41515	6.9%
3	38143	6.4%
Other values (4)	147286	24.5%

agent_phone_numbers[0]
Text

Missing

Distinct	33453
Distinct (%)	87.3%
Missing	4602
Missing (%)	10.7%
Memory size	2.7 MiB

Length

Max length	14
Median length	14
Mean length	13.9894
Min length	1

Characters and Unicode

Total characters	535808
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	31971 ?
Unique (%)	83.5%

Sample

1st row	(508) 726-3492
2nd row	(215) 280-4114
3rd row	(978) 423-6545
4th row	(216) 373-7727
5th row	(843) 213-8754

Value	Count	Frequency (%)
562	666	0.9%
909	586	0.8%
732	486	0.6%
727	478	0.6%
703	457	0.6%
813	434	0.6%
817	425	0.6%
973	418	0.5%
626	414	0.5%
609	370	0.5%
Other values (33699)	71808	93.8%

Most occurring characters

Value	Count	Frequency (%)
0	44580	8.3%
2	41429	7.7%
7	39745	7.4%
3	38785	7.2%
(	38241	7.1%
)	38241	7.1%
	38241	7.1%
-	38241	7.1%
1	37003	6.9%
8	36865	6.9%
Other values (4)	144437	27.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	535808	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	44580	8.3%
2	41429	7.7%
7	39745	7.4%
3	38785	7.2%
(	38241	7.1%
)	38241	7.1%
	38241	7.1%
-	38241	7.1%
1	37003	6.9%
8	36865	6.9%
Other values (4)	144437	27.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	535808	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	44580	8.3%
2	41429	7.7%
7	39745	7.4%
3	38785	7.2%
(	38241	7.1%
)	38241	7.1%
	38241	7.1%
-	38241	7.1%
1	37003	6.9%
8	36865	6.9%
Other values (4)	144437	27.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	535808	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	44580	8.3%
2	41429	7.7%
7	39745	7.4%
3	38785	7.2%
(	38241	7.1%
)	38241	7.1%
	38241	7.1%
-	38241	7.1%
1	37003	6.9%
8	36865	6.9%
Other values (4)	144437	27.0%

agent_phone_numbers[1]
Text

Missing

Distinct	4384
Distinct (%)	61.0%
Missing	35713
Missing (%)	83.2%
Memory size	1.6 MiB

Length

Max length	14
Median length	14
Mean length	13.977191
Min length	1

Characters and Unicode

Total characters	100496
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3818 ?
Unique (%)	53.1%

Sample

1st row	(317) 814-2100
2nd row	(410) 547-1116
3rd row	(435) 705-3029
4th row	(570) 265-2100
5th row	(482) 000-1118

Value	Count	Frequency (%)
703	286	2.0%
973	211	1.5%
301	194	1.4%
410	167	1.2%
562	154	1.1%
540	130	0.9%
570	120	0.8%
610	119	0.8%
732	112	0.8%
845	106	0.7%
Other values (4655)	12763	88.9%

Most occurring characters

Value	Count	Frequency (%)
0	9960	9.9%
2	8273	8.2%
7	7238	7.2%
(	7172	7.1%
)	7172	7.1%
	7172	7.1%
-	7172	7.1%
1	7161	7.1%
3	7022	7.0%
5	6783	6.7%
Other values (4)	25371	25.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	100496	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	9960	9.9%
2	8273	8.2%
7	7238	7.2%
(	7172	7.1%
)	7172	7.1%
	7172	7.1%
-	7172	7.1%
1	7161	7.1%
3	7022	7.0%
5	6783	6.7%
Other values (4)	25371	25.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	100496	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	9960	9.9%
2	8273	8.2%
7	7238	7.2%
(	7172	7.1%
)	7172	7.1%
	7172	7.1%
-	7172	7.1%
1	7161	7.1%
3	7022	7.0%
5	6783	6.7%
Other values (4)	25371	25.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	100496	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	9960	9.9%
2	8273	8.2%
7	7238	7.2%
(	7172	7.1%
)	7172	7.1%
	7172	7.1%
-	7172	7.1%
1	7161	7.1%
3	7022	7.0%
5	6783	6.7%
Other values (4)	25371	25.2%

email
Unsupported

Missing Rejected Unsupported

Missing	42903
Missing (%)	100.0%
Memory size	335.3 KiB

website
URL

Missing

Distinct	10366
Distinct (%)	85.2%
Missing	30732
Missing (%)	71.6%
Memory size	2.1 MiB

https://century21cariotirealestate.com/	116
https://investmentrealty.sites.c21.homes/	49
http://www.century21broadhurst.com/	40
http://www.romanagents.com/	37
http://century21cedarcrest.com/	35
Other values (10361)	11894
(Missing)	30732

Value	Count	Frequency (%)
https://century21cariotirealestate.com/	116	0.3%
https://investmentrealty.sites.c21.homes/	49	0.1%
http://www.century21broadhurst.com/	40	0.1%
http://www.romanagents.com/	37	0.1%
http://century21cedarcrest.com/	35	0.1%
https://www.cariotisellsflorida.com/	35	0.1%
https://alliancegroup.sites.c21.homes/	29	0.1%
https://century21bono.com	29	0.1%
http://century21sbp.com/	29	0.1%
https://c21adamsny.com	27	0.1%
Other values (10356)	11745	27.4%
(Missing)	30732	71.6%

Value	Count	Frequency (%)
https	9148	21.3%
http	3023	7.0%
(Missing)	30732	71.6%

Value	Count	Frequency (%)
c21affiliated.com	649	1.5%
www.century21.com	457	1.1%
homesforsale.century21.com	421	1.0%
www.viewmylisting.com	135	0.3%
www.c21bowman.com	123	0.3%
century21cariotirealestate.com	116	0.3%
search.c21ag.com	85	0.2%
affiliated.sites.c21.homes	77	0.2%
investmentrealty.sites.c21.homes	49	0.1%
www.century21broadhurst.com	42	0.1%
Other values (8166)	10017	23.3%
(Missing)	30732	71.6%

Value	Count	Frequency (%)
/	6418	15.0%
	3561	8.3%
/real-estate-office/profile/century-21-royal-40000703	23	0.1%
/contact	4	< 0.1%
/century-21-geba-realty-4757c	4	< 0.1%
/agentdetail.cfm	4	< 0.1%
/real-estate-agents/profile/helms-rose-team-10005934	3	< 0.1%
/real-estate-agents/profile/tony-angela-the-medina-team-40001077	3	< 0.1%
//www.century21realty.com/	3	< 0.1%
/agent/angela.averill@century21.com	3	< 0.1%
Other values (2134)	2145	5.0%
(Missing)	30732	71.6%

Value	Count	Frequency (%)
	12108	28.2%
k=1	15	< 0.1%
referredByCompany=4757	4	< 0.1%
ut	3	< 0.1%
oid=&chome=1&odoor=	3	< 0.1%
utm_	2	< 0.1%
rvs=12	2	< 0.1%
utm_m	2	< 0.1%
utm_source=google&utm_medium=cpc&utm_campaign=residentialdiscovery&utm_term=&utm_content=&gclid=CjwKCAjwscGjBhAXEiwAswQqNMIZOxukZZEjkxd2bM9DXZdE0ujc0beu_70PMJ99Frg6j6ZphNtDRBoCZLoQAvD_BwE&gclsrc=aw.ds	2	< 0.1%
id=57	1	< 0.1%
Other values (29)	29	0.1%
(Missing)	30732	71.6%

Value	Count	Frequency (%)
	12169	28.4%
reviews	1	< 0.1%
/	1	< 0.1%
(Missing)	30732	71.6%

profile_url
URL

Unique

Distinct	42903
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	5.5 MiB

https://www.century21.com/real-estate-agent/profile/kyle-seyboth-P80096892	1
https://www.century21.com/real-estate-agent/profile/marcy-david-P80187402	1
https://www.century21.com/real-estate-agent/profile/scott-davidson-P80168561	1
https://www.century21.com/real-estate-agent/profile/ben-davies-P80176702	1
https://www.century21.com/real-estate-agent/profile/tyler-davidson-P80072413	1
Other values (42898)	42898

Value	Count	Frequency (%)
https://www.century21.com/real-estate-agent/profile/kyle-seyboth-P80096892	1	< 0.1%
https://www.century21.com/real-estate-agent/profile/marcy-david-P80187402	1	< 0.1%
https://www.century21.com/real-estate-agent/profile/scott-davidson-P80168561	1	< 0.1%
https://www.century21.com/real-estate-agent/profile/ben-davies-P80176702	1	< 0.1%
https://www.century21.com/real-estate-agent/profile/tyler-davidson-P80072413	1	< 0.1%
https://www.century21.com/real-estate-agent/profile/dee-davies-P80136180	1	< 0.1%
https://www.century21.com/real-estate-agent/profile/beatriz-davila-P80187868	1	< 0.1%
https://www.century21.com/real-estate-agent/profile/michael-davila-P80134375	1	< 0.1%
https://www.century21.com/real-estate-agent/profile/alfreda-davis-P416539280	1	< 0.1%
https://www.century21.com/real-estate-agent/profile/alicia-davis-P80117851	1	< 0.1%
Other values (42893)	42893	> 99.9%

Value	Count	Frequency (%)
https	42903	100.0%

Value	Count	Frequency (%)
www.century21.com	42903	100.0%

Value	Count	Frequency (%)
/real-estate-agent/profile/kyle-seyboth-P80096892	1	< 0.1%
/real-estate-agent/profile/marcy-david-P80187402	1	< 0.1%
/real-estate-agent/profile/scott-davidson-P80168561	1	< 0.1%
/real-estate-agent/profile/ben-davies-P80176702	1	< 0.1%
/real-estate-agent/profile/tyler-davidson-P80072413	1	< 0.1%
/real-estate-agent/profile/dee-davies-P80136180	1	< 0.1%
/real-estate-agent/profile/beatriz-davila-P80187868	1	< 0.1%
/real-estate-agent/profile/michael-davila-P80134375	1	< 0.1%
/real-estate-agent/profile/alfreda-davis-P416539280	1	< 0.1%
/real-estate-agent/profile/alicia-davis-P80117851	1	< 0.1%
Other values (42893)	42893	> 99.9%

Value	Count	Frequency (%)
	42903	100.0%

Value	Count	Frequency (%)
	42903	100.0%

languages[0]
Text

Missing

Distinct	104
Distinct (%)	1.5%
Missing	35773
Missing (%)	83.4%
Memory size	1.5 MiB

Length

Max length	34
Median length	7
Mean length	7.3415147
Min length	2

Characters and Unicode

Total characters	52345
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	37 ?
Unique (%)	0.5%

Sample

1st row	Spanish
2nd row	English
3rd row	English
4th row	English
5th row	French

Value	Count	Frequency (%)
english	3452	46.4%
spanish	1810	24.3%
chinese	289	3.9%
hindi	178	2.4%
russian	138	1.9%
mandarin	131	1.8%
italian	116	1.6%
polish	112	1.5%
german	90	1.2%
arabic	88	1.2%
Other values (110)	1042	14.0%

Most occurring characters

Value	Count	Frequency (%)
n	7187	13.7%
i	7100	13.6%
s	6188	11.8%
h	5828	11.1%
l	3886	7.4%
g	3684	7.0%
a	3525	6.7%
E	3458	6.6%
p	1896	3.6%
S	1869	3.6%
Other values (43)	7724	14.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	52345	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	7187	13.7%
i	7100	13.6%
s	6188	11.8%
h	5828	11.1%
l	3886	7.4%
g	3684	7.0%
a	3525	6.7%
E	3458	6.6%
p	1896	3.6%
S	1869	3.6%
Other values (43)	7724	14.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	52345	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	7187	13.7%
i	7100	13.6%
s	6188	11.8%
h	5828	11.1%
l	3886	7.4%
g	3684	7.0%
a	3525	6.7%
E	3458	6.6%
p	1896	3.6%
S	1869	3.6%
Other values (43)	7724	14.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	52345	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	7187	13.7%
i	7100	13.6%
s	6188	11.8%
h	5828	11.1%
l	3886	7.4%
g	3684	7.0%
a	3525	6.7%
E	3458	6.6%
p	1896	3.6%
S	1869	3.6%
Other values (43)	7724	14.8%

languages[1]
Text

Missing

Distinct	95
Distinct (%)	1.4%
Missing	36135
Missing (%)	84.2%
Memory size	1.5 MiB

Length

Max length	24
Median length	7
Mean length	7.3495863
Min length	2

Characters and Unicode

Total characters	49742
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	0.5%

Sample

1st row	English
2nd row	Arabic
3rd row	Spanish
4th row	Arabic
5th row	English

Value	Count	Frequency (%)
english	2837	40.5%
spanish	2458	35.1%
arabic	180	2.6%
french	172	2.5%
chinese	163	2.3%
portuguese	102	1.5%
tagalog	94	1.3%
hindi	80	1.1%
russian	63	0.9%
italian	52	0.7%
Other values (95)	802	11.5%

Most occurring characters

Value	Count	Frequency (%)
n	6543	13.2%
i	6378	12.8%
s	5905	11.9%
h	5686	11.4%
a	3906	7.9%
g	3232	6.5%
l	3156	6.3%
E	2884	5.8%
S	2497	5.0%
p	2478	5.0%
Other values (41)	7077	14.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49742	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	6543	13.2%
i	6378	12.8%
s	5905	11.9%
h	5686	11.4%
a	3906	7.9%
g	3232	6.5%
l	3156	6.3%
E	2884	5.8%
S	2497	5.0%
p	2478	5.0%
Other values (41)	7077	14.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49742	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	6543	13.2%
i	6378	12.8%
s	5905	11.9%
h	5686	11.4%
a	3906	7.9%
g	3232	6.5%
l	3156	6.3%
E	2884	5.8%
S	2497	5.0%
p	2478	5.0%
Other values (41)	7077	14.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49742	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	6543	13.2%
i	6378	12.8%
s	5905	11.9%
h	5686	11.4%
a	3906	7.9%
g	3232	6.5%
l	3156	6.3%
E	2884	5.8%
S	2497	5.0%
p	2478	5.0%
Other values (41)	7077	14.2%

languages[2]
Text

Missing

Distinct	72
Distinct (%)	6.5%
Missing	41787
Missing (%)	97.4%
Memory size	1.3 MiB

Length

Max length	31
Median length	7
Mean length	8.5448029
Min length	3

Characters and Unicode

Total characters	9536
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27 ?
Unique (%)	2.4%

Sample

1st row	Spanish
2nd row	Spanish
3rd row	Chinese (Yue/Cantonese)
4th row	Spanish
5th row	English

Value	Count	Frequency (%)
english	338	27.0%
spanish	139	11.1%
portuguese	117	9.3%
chinese	95	7.6%
french	76	6.1%
yue/cantonese	34	2.7%
punjabi	31	2.5%
eastern	31	2.5%
mandarin	30	2.4%
hindi	30	2.4%
Other values (69)	331	26.4%

Most occurring characters

Value	Count	Frequency (%)
n	1094	11.5%
i	960	10.1%
s	848	8.9%
e	788	8.3%
h	674	7.1%
a	665	7.0%
g	520	5.5%
l	456	4.8%
r	417	4.4%
u	383	4.0%
Other values (40)	2731	28.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9536	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	1094	11.5%
i	960	10.1%
s	848	8.9%
e	788	8.3%
h	674	7.1%
a	665	7.0%
g	520	5.5%
l	456	4.8%
r	417	4.4%
u	383	4.0%
Other values (40)	2731	28.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9536	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	1094	11.5%
i	960	10.1%
s	848	8.9%
e	788	8.3%
h	674	7.1%
a	665	7.0%
g	520	5.5%
l	456	4.8%
r	417	4.4%
u	383	4.0%
Other values (40)	2731	28.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9536	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	1094	11.5%
i	960	10.1%
s	848	8.9%
e	788	8.3%
h	674	7.1%
a	665	7.0%
g	520	5.5%
l	456	4.8%
r	417	4.4%
u	383	4.0%
Other values (40)	2731	28.6%

languages[3]
Text

Missing

Distinct	56
Distinct (%)	18.1%
Missing	42593
Missing (%)	99.3%
Memory size	1.3 MiB

Length

Max length	23
Median length	22
Mean length	9.2677419
Min length	3

Characters and Unicode

Total characters	2873
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	24 ?
Unique (%)	7.7%

Sample

1st row	Portuguese
2nd row	English
3rd row	Romanian
4th row	Chinese (Mandarin)
5th row	Swedish

Value	Count	Frequency (%)
english	72	19.4%
spanish	30	8.1%
chinese	29	7.8%
punjabi	20	5.4%
portuguese	19	5.1%
eastern	19	5.1%
hebrew	17	4.6%
mandarin	17	4.6%
yue/cantonese	9	2.4%
french	9	2.4%
Other values (56)	130	35.0%

Most occurring characters

Value	Count	Frequency (%)
n	337	11.7%
i	293	10.2%
a	271	9.4%
e	240	8.4%
s	212	7.4%
h	154	5.4%
r	140	4.9%
l	112	3.9%
g	106	3.7%
E	91	3.2%
Other values (40)	917	31.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2873	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	337	11.7%
i	293	10.2%
a	271	9.4%
e	240	8.4%
s	212	7.4%
h	154	5.4%
r	140	4.9%
l	112	3.9%
g	106	3.7%
E	91	3.2%
Other values (40)	917	31.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2873	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	337	11.7%
i	293	10.2%
a	271	9.4%
e	240	8.4%
s	212	7.4%
h	154	5.4%
r	140	4.9%
l	112	3.9%
g	106	3.7%
E	91	3.2%
Other values (40)	917	31.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2873	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	337	11.7%
i	293	10.2%
a	271	9.4%
e	240	8.4%
s	212	7.4%
h	154	5.4%
r	140	4.9%
l	112	3.9%
g	106	3.7%
E	91	3.2%
Other values (40)	917	31.9%

languages[4]
Categorical

Missing

Distinct	30
Distinct (%)	44.8%
Missing	42836
Missing (%)	99.8%
Memory size	1.6 MiB

Spanish	9
English	8
Urdu	7
Italian	4
Chinese (Mandarin)	3
Other values (25)	36

Length

Max length	23
Median length	18
Mean length	8.8656716
Min length	3

Characters and Unicode

Total characters	594
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	25.4%

Sample

1st row	Chinese (Yue/Cantonese)
2nd row	English
3rd row	Italian
4th row	Portuguese
5th row	Spanish

Common Values

Value	Count	Frequency (%)
Spanish	9	< 0.1%
English	8	< 0.1%
Urdu	7	< 0.1%
Italian	4	< 0.1%
Chinese (Mandarin)	3	< 0.1%
Portuguese	3	< 0.1%
Serbian	3	< 0.1%
Armenian	3	< 0.1%
Khmer (Central)	2	< 0.1%
Persian	2	< 0.1%
Other values (20)	23	0.1%
(Missing)	42836	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
spanish	9	11.1%
english	8	9.9%
urdu	7	8.6%
chinese	6	7.4%
italian	4	4.9%
mandarin	3	3.7%
portuguese	3	3.7%
serbian	3	3.7%
armenian	3	3.7%
central	3	3.7%
Other values (26)	32	39.5%

Most occurring characters

Value	Count	Frequency (%)
n	72	12.1%
a	68	11.4%
i	59	9.9%
e	45	7.6%
s	35	5.9%
r	35	5.9%
h	30	5.1%
l	22	3.7%
u	20	3.4%
t	17	2.9%
Other values (35)	191	32.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	594	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	72	12.1%
a	68	11.4%
i	59	9.9%
e	45	7.6%
s	35	5.9%
r	35	5.9%
h	30	5.1%
l	22	3.7%
u	20	3.4%
t	17	2.9%
Other values (35)	191	32.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	594	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	72	12.1%
a	68	11.4%
i	59	9.9%
e	45	7.6%
s	35	5.9%
r	35	5.9%
h	30	5.1%
l	22	3.7%
u	20	3.4%
t	17	2.9%
Other values (35)	191	32.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	594	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	72	12.1%
a	68	11.4%
i	59	9.9%
e	45	7.6%
s	35	5.9%
r	35	5.9%
h	30	5.1%
l	22	3.7%
u	20	3.4%
t	17	2.9%
Other values (35)	191	32.2%

languages[5]
Text

Missing

Distinct	15
Distinct (%)	88.2%
Missing	42886
Missing (%)	> 99.9%
Memory size	1.3 MiB

Length

Max length	31
Median length	10
Mean length	9.1764706
Min length	3

Characters and Unicode

Total characters	156
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	76.5%

Sample

1st row	Albanian
2nd row	Polish
3rd row	Arabic (South Levantine Spoken)
4th row	Persian
5th row	Portuguese

Value	Count	Frequency (%)
albanian	2	9.5%
urdu	2	9.5%
lao	1	4.8%
croatian	1	4.8%
southern	1	4.8%
pashto	1	4.8%
armenian	1	4.8%
tagalog	1	4.8%
uspanteko	1	4.8%
bulgarian	1	4.8%
Other values (9)	9	42.9%

Most occurring characters

Value	Count	Frequency (%)
a	23	14.7%
n	15	9.6%
o	10	6.4%
i	10	6.4%
r	10	6.4%
e	9	5.8%
t	7	4.5%
u	7	4.5%
l	7	4.5%
s	5	3.2%
Other values (23)	53	34.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	156	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	23	14.7%
n	15	9.6%
o	10	6.4%
i	10	6.4%
r	10	6.4%
e	9	5.8%
t	7	4.5%
u	7	4.5%
l	7	4.5%
s	5	3.2%
Other values (23)	53	34.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	156	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	23	14.7%
n	15	9.6%
o	10	6.4%
i	10	6.4%
r	10	6.4%
e	9	5.8%
t	7	4.5%
u	7	4.5%
l	7	4.5%
s	5	3.2%
Other values (23)	53	34.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	156	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	23	14.7%
n	15	9.6%
o	10	6.4%
i	10	6.4%
r	10	6.4%
e	9	5.8%
t	7	4.5%
u	7	4.5%
l	7	4.5%
s	5	3.2%
Other values (23)	53	34.0%

languages[6]
Text

Missing

Distinct	4
Distinct (%)	100.0%
Missing	42899
Missing (%)	> 99.9%
Memory size	1.3 MiB

Length

Max length	20
Median length	14
Mean length	13.75
Min length	7

Characters and Unicode

Total characters	55
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	100.0%

Sample

1st row	Arabic (Gulf Spoken)
2nd row	Braj Bhasha
3rd row	Chinese
4th row	Punjabi (Eastern)

Value	Count	Frequency (%)
arabic	1	12.5%
gulf	1	12.5%
spoken	1	12.5%
braj	1	12.5%
bhasha	1	12.5%
chinese	1	12.5%
punjabi	1	12.5%
eastern	1	12.5%

Most occurring characters

Value	Count	Frequency (%)
a	6	10.9%
n	4	7.3%
e	4	7.3%
	4	7.3%
s	3	5.5%
i	3	5.5%
r	3	5.5%
h	3	5.5%
B	2	3.6%
j	2	3.6%
Other values (17)	21	38.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	55	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	6	10.9%
n	4	7.3%
e	4	7.3%
	4	7.3%
s	3	5.5%
i	3	5.5%
r	3	5.5%
h	3	5.5%
B	2	3.6%
j	2	3.6%
Other values (17)	21	38.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	55	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	6	10.9%
n	4	7.3%
e	4	7.3%
	4	7.3%
s	3	5.5%
i	3	5.5%
r	3	5.5%
h	3	5.5%
B	2	3.6%
j	2	3.6%
Other values (17)	21	38.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	55	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	6	10.9%
n	4	7.3%
e	4	7.3%
	4	7.3%
s	3	5.5%
i	3	5.5%
r	3	5.5%
h	3	5.5%
B	2	3.6%
j	2	3.6%
Other values (17)	21	38.2%

languages[7]
Text

Missing

Distinct	3
Distinct (%)	100.0%
Missing	42900
Missing (%)	> 99.9%
Memory size	1.3 MiB

Length

Max length	22
Median length	10
Mean length	12.666667
Min length	6

Characters and Unicode

Total characters	38
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	100.0%

Sample

1st row	Arabic (Sa'idi Spoken)
2nd row	Vietnamese
3rd row	Telugu

Value	Count	Frequency (%)
arabic	1	20.0%
sa'idi	1	20.0%
spoken	1	20.0%
vietnamese	1	20.0%
telugu	1	20.0%

Most occurring characters

Value	Count	Frequency (%)
e	5	13.2%
i	4	10.5%
a	3	7.9%
n	2	5.3%
u	2	5.3%
	2	5.3%
S	2	5.3%
A	1	2.6%
l	1	2.6%
T	1	2.6%
Other values (15)	15	39.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	38	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	5	13.2%
i	4	10.5%
a	3	7.9%
n	2	5.3%
u	2	5.3%
	2	5.3%
S	2	5.3%
A	1	2.6%
l	1	2.6%
T	1	2.6%
Other values (15)	15	39.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	38	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	5	13.2%
i	4	10.5%
a	3	7.9%
n	2	5.3%
u	2	5.3%
	2	5.3%
S	2	5.3%
A	1	2.6%
l	1	2.6%
T	1	2.6%
Other values (15)	15	39.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	38	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	5	13.2%
i	4	10.5%
a	3	7.9%
n	2	5.3%
u	2	5.3%
	2	5.3%
S	2	5.3%
A	1	2.6%
l	1	2.6%
T	1	2.6%
Other values (15)	15	39.5%

languages[8]
Text

Missing

Distinct	2
Distinct (%)	100.0%
Missing	42901
Missing (%)	> 99.9%
Memory size	1.3 MiB

Length

Max length	39
Median length	21.5
Mean length	21.5
Min length	4

Characters and Unicode

Total characters	43
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	Arabic (Eastern Egyptian Bedawi Spoken)
2nd row	Urdu

Value	Count	Frequency (%)
arabic	1	16.7%
eastern	1	16.7%
egyptian	1	16.7%
bedawi	1	16.7%
spoken	1	16.7%
urdu	1	16.7%

Most occurring characters

Value	Count	Frequency (%)
a	4	9.3%
	4	9.3%
n	3	7.0%
i	3	7.0%
e	3	7.0%
r	3	7.0%
d	2	4.7%
E	2	4.7%
t	2	4.7%
p	2	4.7%
Other values (15)	15	34.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	43	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	4	9.3%
	4	9.3%
n	3	7.0%
i	3	7.0%
e	3	7.0%
r	3	7.0%
d	2	4.7%
E	2	4.7%
t	2	4.7%
p	2	4.7%
Other values (15)	15	34.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	43	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	4	9.3%
	4	9.3%
n	3	7.0%
i	3	7.0%
e	3	7.0%
r	3	7.0%
d	2	4.7%
E	2	4.7%
t	2	4.7%
p	2	4.7%
Other values (15)	15	34.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	43	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	4	9.3%
	4	9.3%
n	3	7.0%
i	3	7.0%
e	3	7.0%
r	3	7.0%
d	2	4.7%
E	2	4.7%
t	2	4.7%
p	2	4.7%
Other values (15)	15	34.9%

languages[9]
Text

Constant Missing

Distinct	1
Distinct (%)	100.0%
Missing	42902
Missing (%)	> 99.9%
Memory size	1.3 MiB

Length

Max length	31
Median length	31
Mean length	31
Min length	31

Characters and Unicode

Total characters	31
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Arabic (North Levantine Spoken)

Value	Count	Frequency (%)
arabic	1	25.0%
north	1	25.0%
levantine	1	25.0%
spoken	1	25.0%

Most occurring characters

Value	Count	Frequency (%)
e	3	9.7%
	3	9.7%
n	3	9.7%
t	2	6.5%
a	2	6.5%
i	2	6.5%
o	2	6.5%
r	2	6.5%
k	1	3.2%
p	1	3.2%
Other values (10)	10	32.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	31	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	3	9.7%
	3	9.7%
n	3	9.7%
t	2	6.5%
a	2	6.5%
i	2	6.5%
o	2	6.5%
r	2	6.5%
k	1	3.2%
p	1	3.2%
Other values (10)	10	32.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	31	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	3	9.7%
	3	9.7%
n	3	9.7%
t	2	6.5%
a	2	6.5%
i	2	6.5%
o	2	6.5%
r	2	6.5%
k	1	3.2%
p	1	3.2%
Other values (10)	10	32.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	31	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	3	9.7%
	3	9.7%
n	3	9.7%
t	2	6.5%
a	2	6.5%
i	2	6.5%
o	2	6.5%
r	2	6.5%
k	1	3.2%
p	1	3.2%
Other values (10)	10	32.3%

Interactions

Correlations

	languages[4]	zipcode
languages[4]	1.000	0.328
zipcode	0.328	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	_id	first_name	middle_name	last_name	office_name	title	description	image_url	address	city	state	country	zipcode	office_phone_numbers[0]	agent_phone_numbers[0]	agent_phone_numbers[1]	email	website	profile_url	languages[0]	languages[1]	languages[2]	languages[3]	languages[4]	languages[5]	languages[6]	languages[7]	languages[8]	languages[9]
0	674595d263f3d792c14081ce	Kyle	NaN	Seyboth	The Seyboth Team	NaN	NaN	NaN	969 Waterman Ave	East Providence	RI	United States	2914	(401) 477-0124	(508) 726-3492	NaN	NaN	NaN	https://www.century21.com/real-estate-agent/profile/kyle-seyboth-P80096892	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	674595d263f3d792c14081cf	William	NaN	Lublin	Advantage Gold	NaN	1997 GPAR REALTOR of the Year Inducted to Greater Phila. Association of REALTORS Hall of Fame Certified Real Estate Instructor BILL LUBLIN operates a successful multi-office real estate firm and has been recognized as a thought leader for his insights regarding technology and its use in business. An international speaker and trainer, he makes complicated things simple in a fast paced entertaining manner. Entering the real estate business in 1971 at the age of 21, Bill rapidly gained recognition as one of the best salespeople in the marketplace. From his earliest days he began a career of service to both the community and the industry, always embracing the latest tools and technology. Bill has served as a member of the National Association of REALTORS Professional Standards Committee and Risk Management Committee. He was also appointed to serve on the Interpretations and Procedures Sub-Committee, the Article 10 Standards Revision Working Group, the Commercial Membership Recruitment Group, the BPO Workgroup, and was appointed Chair of the NAR Short Sale Workgroup. In addition Bill has was Vice-Chair of the Professional Standards Forum and the Professional Standards Committee, was Chairman of the Committee in 2008, the Association's Centennial Year, and chairing the Interpretations and Procedures Sub-Committee of Professional Standards in 2009 . In 2014 Bill will serve as the Chair for the MLS Issues & Policies Committee for NAR.	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/aa0/aed/c6/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvdmc0ZjF5NG4xemJzbTJ5aDlqZGR4N3FuZjdp.jpg	494 Second Street Pike	Southampton	PA	United States	18966	(215) 671-4701	(215) 280-4114	NaN	NaN	https://search.c21ag.com/idx/agent/159361/bill-lublin	https://www.century21.com/real-estate-agent/profile/william-lublin-P10058887	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	674595d263f3d792c14081d0	Fermin	NaN	Group	North East	NaN	NaN	NaN	130 Parker St	Lawrence	MA	United States	1843	(800) 844-7653	(978) 423-6545	NaN	NaN	NaN	https://www.century21.com/real-estate-agent/profile/michelle-fermin-of-fermin-group-of-fermin-group-P25361165	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	674595d263f3d792c14081d1	21	Mike	Team	HomeStar	NaN	NaN	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/55e/8aa/2d/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvN2MwYThnOTlxemoxbXhhdDJ4MGdqYzBiMjBp.jpg	31320 Solon Road	Solon	OH	United States	44139	(440) 449-9100	(216) 373-7727	NaN	NaN	NaN	https://www.century21.com/real-estate-agent/profile/mike-ferrante-of-21-mike-team-of-21-mike-team-P25301173	Spanish	English	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	674595d263f3d792c14081d2	The	Mills	Group	Barefoot Realty	NaN	NaN	NaN	4720 Barefoot Resort Bridge Road	North Myrtle Beach	SC	United States	29582	(843) 390-1999	(843) 213-8754	NaN	NaN	NaN	https://www.century21.com/real-estate-agent/profile/kevin-mills-of-the-mills-group-of-the-mills-group-P25382693	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	674595d263f3d792c14081d3	Tim	NaN	Williams	803 Realty	NaN	Lexington is where Tim Williams, owner and broker-in-charge at 803 Realty , grew up. 803 Realty offers a stress-free approach to buying and selling real estate through partnerships with industry leaders throughout the purchasing or selling process. These partnerships and connections allow clients to feel at ease and know that every step of the process is being held with the utmost care and urgency. The agency has also partnered with a property management company that allows for their clients to have a one stop approach to real estate. 803 Realty rebranded in June of 2020, after first opening its doors as Williams Real Estate Group in January 2016 as a full service residential real estate company. Tim and the other 42 agents pride themselves on their VIP client level customer service. They are selling homes 25 days faster than the Midlands average and operate as a one stop shop for both real estate sales and rentals. Tim is continually expanding to service communities throughout the 803 area code. He recently announced the expansion of their sales force to the Aiken/North Augusta market. The agency continues to focus on finding new ways to serve the community by joining multiple charitable foundations and business leaders that work to beautify the town and encourage growth and diversity. Everyday, Tim gets to help individuals and families with one of the largest purchases of their life, real estate. Not only that, but he also gets to mentor agents who work with 803 Realty and learn new ways to serve the community and build the business. Tim is grateful how his work in this service industry has touched his life. He shared that life is a beautiful thing that we must all be grateful for and that success should be defined by the individual, not a company or corporation. I feel as though in this industry and in any 'luxury industry' there is too much pressure on agents to work towards driving a certain car or making a certain amount of money, he said. We all have different levels of comfort when it comes to living and different things we are working toward. I feel as though it's important as a company that we promote that individuality because that's what makes this community thrive and great. 803 Realty will always remain locally owned and operated, putting their clients and community first. Visit 803 Realty at 5599 Sunset Boulevard or at www.803realtylexington.com . Tim and his wife Cidney, are quite involved in Lexington, from helping out at the schools their four children attend to taking part in city beautification projects. They also love Lake Murray - the jewel of South Carolina. I love time with my family and vacationing, Tim adds. They are the center of my world.	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/052/e33/91/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMjI4aTAvMXF6dGhnbTR4eGR0NGQya2hha3ExYzY1Zzdp.jpg	5599 Sunset Blvd	Lexington	SC	United States	29072	(803) 490-1877	(803) 528-9219	NaN	NaN	NaN	https://www.century21.com/real-estate-agent/profile/tim-williams-P80133938	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	674595d263f3d792c14081d4	Shelly	NaN	Garner	803 Realty	NaN	Shelly Garner is a local Realtor with 24 years experience in the Lexington and Columbia Area. Shelly has ranked in the Real Trends Top 1,000 agents nationally for the past 4 years. Shelly has a real passion for new homes sales and over the past 8 years has been honored to have achieved being the top sales agent for a local builder. Shelly is committed to helping you buy or sell your home with the highest level of expertise in your local market. Shelly creates a positive experience for both sides in any real estate transaction. Known by clients and colleagues alike for her honesty, perseverance and professionalism, she has a reputation for a quick, timely response to each client's needs and concerns. Shelly has the market knowledge as well as negotiation and communication skills to provide exceptional customer satisfaction, which is her personal commitment to each and every client. Give Shelly a Call or Email she would love to assist you with your real estate needs.	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/1c9/668/16/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMjI4aTAvZzRzZ2R6cGpzOWR0bW10MWcycGR4NzVndjRp.jpg	5599 Sunset Blvd	Lexington	SC	United States	29072	(803) 490-1877	(803) 309-9527	NaN	NaN	NaN	https://www.century21.com/real-estate-agent/profile/shelly-garner-P80134444	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	674595d263f3d792c14081d5	Edna	NaN	Kimble	Wright Real Estate	NaN	#1 Century 21 Realtor in The United States #1 Century 21 realtor in Oklahoma for the past 5 years #1 Realtor in Tahlequah Best of the Best for the past several years #1 in Customer Service for the past 5 years ABR, SRS, CRS, GRI, CHMS A Home SOLD Every 2.1 days	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/18b/030/4f/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvbjhocndlZzh4NzUybTN0eHZlMW05anhtODJp.jpg	103 Mimosa Ln	Tahlequah	OK	United States	74464	(918) 456-5288	(918) 931-8413	NaN	NaN	http://www.ednakimble.com/	https://www.century21.com/real-estate-agent/profile/edna-kimble-P25273278	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	674595d263f3d792c14081d6	Scheetz	NaN	Team	Scheetz	NaN	Mike and Melanie Scheetz began serving the greater Indianapolis area residential real estate community over two decades ago in 1995. With over 20 years of experience and the beneficial insight of a male and female team, Mike and Melanie offer service that is set apart from the rest with their unparalleled knowledge, experience, and insightful expertise. Choosing Mike and Melanie Scheetz will not only provide a stress-free buying and selling experience, but a lasting relationship with people who care more about the relationships they'll build than the commission they'll earn.	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/6b1/69d/4f/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvdnZ4MzJwcDhnNGhoNHlqcGphZ3Q2NXczNDRp.jpg	270 East Carmel Drive	Carmel	IN	United States	46032	(317) 844-5111	(317) 587-8600	(317) 814-2100	NaN	http://scheetzteam.com/	https://www.century21.com/real-estate-agent/profile/mike-scheetz-of-scheetz-team-of-scheetz-team-P10143053	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	674595d263f3d792c14081d7	The	Elite	Team	Everest	NaN	NaN	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/d1f/a93/eb/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvMWZ5Z2NyNjF6aGh0bTl0ZHI3MzM0czc3ZDdp.jpg	6925 S. Union Park Center, Suite 600	Cottonwood Heights	UT	United States	84047	(801) 449-3000	(801) 910-5087	NaN	NaN	NaN	https://www.century21.com/real-estate-agent/profile/david-parker-of-the-elite-team-of-the-elite-team-P25361741	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

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42893	674595e363f3d792c141295c	Julio	NaN	Pacheco	Realty Masters	NaN	NaN	NaN	11716 Rosecrans Avenue	Norwalk	CA	United States	90650	(562) 677-1800	NaN	NaN	NaN	NaN	https://www.century21.com/real-estate-agent/profile/julio-pacheco-P25396833	Spanish	English	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
42894	674595e363f3d792c141295d	Eddie	NaN	Pacheco	AllPoints Realty	NaN	NaN	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/a99/b51/61/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAveGpiZjhwOTZ3dmh6NGNld25rNXoxZHR6ZTVp.jpg	476 Naubuc Ave.	Glastonbury	CT	United States	6033	(860) 646-4525	(860) 490-5405	NaN	NaN	NaN	https://www.century21.com/real-estate-agent/profile/eddie-pacheco-P80180200	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
42895	674595e363f3d792c141295e	Robert	NaN	Pachence	Select Group	NaN	NaN	NaN	702 North Church Street	Hazleton	PA	United States	18201	(570) 455-8521	(570) 401-3773	(570) 455-8521	NaN	NaN	https://www.century21.com/real-estate-agent/profile/robert-pachence-P25285130	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
42896	674595e363f3d792c141295f	Joseph	NaN	Pacilio	Village Realty	NaN	About Joe Pacilio Passion, knowledge, experience and commitment. Meet Joe Pacilio, a Real Estate Agent and Runner who is an active Member of the Community and a Top Producer at Century 21. What separates Joe Pacilio from the pack? His passion for success, knowledge in the industry, experience in the community, and his commitment to you. As a trusted member of the real estate community, Joe served as the 2015 President of the Arcadia Association of Realtors, A Board of Director for California Association of Realtors from 2014 through 2018 2016 REALTOR of The Year by The Arcadia Association of REALTORS Working with Joe means working with Century 21 Village Realty. Century 21 Village Realty is a force to be reckoned with in the Southern California Real Estate Industry. With any passion comes the desire to not only participate, but to actively contribute. As a Runner and a leader, Joe spends his free time doing what he loves most, giving back, and running of course. He is the Team Captain for the American Cancer Society Relay for Life since 2008, active member of the Mt. Wilson Trail Race Committee since 2010, a Rose Parade Float Operator since 2004, and a participant in many local races including Mt. Wilson Trail Race, LA Marathon, Santa Anita Derby Day, to name a few. As a Real Estate Agent / Runner AND active Member of the community, this triple threat is a master at his craft and is sure to be by your side from the Start to the Finish Line Joe is with you every step of the way.	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/b43/e7c/f0/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvODJoZzB3NXc1Z25xNDBlcjg3bTl3Y2phZTNp.jpg	38 West Sierra Madre Blvd.	Sierra Madre	CA	United States	91024	(626) 355-1451	(626) 589-8945	NaN	NaN	https://www.joepacilio.com/	https://www.century21.com/real-estate-agent/profile/joseph-pacilio-P80133843	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
42897	674595e363f3d792c1412960	Sergio	NaN	Pacheco	Realty Masters	NaN	NaN	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/a53/4cd/ce/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvajZuajFzNTBybTdkNG5qMTN2enQxMnB2cjNp.jpg	830 N Wilcox Ave	Montebello	CA	United States	90640	(323) 722-7300	(323) 722-7300	(213) 760-1904	NaN	https://www.sergiopacheco.com	https://www.century21.com/real-estate-agent/profile/sergio-pacheco-P99428577	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
42898	674595e363f3d792c1412961	Araceli	NaN	Rivera	King	NaN	NaN	NaN	8338 Day Creek Blvd.	Rancho Cucamonga	CA	United States	91739	(909) 980-8000	(626) 384-1208	NaN	NaN	NaN	https://www.century21.com/real-estate-agent/profile/araceli-rivera-P80167551	English	Spanish	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
42899	674595e363f3d792c1412962	Boris	NaN	Raykhman	Hollywood	NaN	NaN	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/ee3/5fc/96/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xaTAvN2Zmbjh0ejhzcnQybWJ5Z3pxN3dzeDhhYTFp.jpg	5827 Franklin Avenue	Hollywood	CA	United States	90028	(323) 462-7436	(323) 462-7436	NaN	NaN	NaN	https://www.century21.com/real-estate-agent/profile/boris-raykhman-P25065446	Russian	English	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
42900	674595e363f3d792c1412963	Ashley	NaN	Trowbridge	Judge Fite Company	NaN	NaN	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/6d2/7d4/50/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMjI4aTAvNTExcGVlMjNwYWRlbTRhNXNlZjBicGp6djJp.jpg	117 N. Dallas St	Ennis	TX	United States	75119	(972) 875-5867	(903) 654-9971	NaN	NaN	http://www.ashleytrowbridge.sites.c21.homes/	https://www.century21.com/real-estate-agent/profile/ashley-trowbridge-P80180301	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
42901	674595e363f3d792c1412964	Joanna	NaN	Valenzuela	A Better Service Realty	NaN	NaN	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/659/6bb/43/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xMTAzaTAvY2czNWZzbWJ3am1tbTR5OXB0c2Z0NmhzaDNp.jpg	8077 Florence Avenue	Downey	CA	United States	90240	(562) 806-1000	(562) 964-0778	NaN	NaN	NaN	https://www.century21.com/real-estate-agent/profile/joanna-valenzuela-P80136879	English	Spanish	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
42902	674595e363f3d792c1412965	Scott	NaN	Willis	American Properties	NaN	NaN	https://www.century21.com/c21/remote-media/affiliate-4x5-316w/3f6/93f/e5/aHR0cHM6Ly9jMjEuYXp1cmVlZGdlLm5ldC8xN2kwLzRhY250eXR4NnN3bm0zNnFwcXFtMWhxbngyaQ.jpg	1935 Lejeune Boulevard	Jacksonville	NC	United States	28546	(910) 577-5400	(910) 577-5400	NaN	NaN	http://www.jacksonvillerealestatenc.com/	https://www.century21.com/real-estate-agent/profile/scott-willis-P10177777	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

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